Machine Learning algorithms in R

Climate change is a key factor in how extreme weather events affect how ecosystems and species react to these changes in temperatures. University of British Columbia's (UBC) Botanical Garden is interested in improving microclimate information within the garden to understand how areas with shade create respite zones for species. Due to the recent…

Learners from {dbarts} package for mlr3

Repo for VU Online Market Places - Course essay.

prediction modelling using mlr on bike data

Classifying NBA player position based solely on performance statistics

Using a telecom company's data of services provided to customers and observing how customers use it to predict if they will decide to continue or cease to be a customer of the company.

Machine learning models build on real time data

Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.

A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers

R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection

Micro-reserve model using XGBoost

🪙 Linear regression model, predict monthly transaction amount

Meta-learning basic suite for machine learning experiments.

Filter-based feature selection for mlr3

Package for a nice and smoothe usage of the shapley value for mlr

shiny-mlr: Integration of the mlr package into shiny

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Machine Learning in R